Users

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Dataset statistics

Number of variables	5
Number of observations	6040
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	236.1 KiB
Average record size in memory	40.0 B

Variable types

Numeric	4
Categorical	1

Alerts

`Zip-code` is highly skewed (γ1 = 77.57032144)	Skewed
`UserID` is uniformly distributed	Uniform
`UserID` has unique values	Unique
`Occupation` has 711 (11.8%) zeros	Zeros

Reproduction

Analysis started	2025-07-25 17:17:20.377665
Analysis finished	2025-07-25 17:18:53.958350
Duration	1 minute and 33.58 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

UserID
Real number (ℝ)

Uniform Unique

Distinct	6040
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3020.5

Minimum	1
Maximum	6040
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.3 KiB

Quantile statistics

Minimum	1
5-th percentile	302.95
Q1	1510.75
median	3020.5
Q3	4530.25
95-th percentile	5738.05
Maximum	6040
Range	6039
Interquartile range (IQR)	3019.5

Descriptive statistics

Standard deviation	1743.7421
Coefficient of variation (CV)	0.57730248
Kurtosis	-1.2
Mean	3020.5
Median Absolute Deviation (MAD)	1510
Skewness	0
Sum	18243820
Variance	3040636.7
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6040	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
6024	1	< 0.1%
6023	1	< 0.1%
Other values (6030)	6030	99.8%

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
6040	1	< 0.1%
6039	1	< 0.1%
6038	1	< 0.1%
6037	1	< 0.1%
6036	1	< 0.1%
6035	1	< 0.1%
6034	1	< 0.1%
6033	1	< 0.1%
6032	1	< 0.1%
6031	1	< 0.1%

Gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.3 KiB

M	4331
F	1709

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	6040
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	F
2nd row	M
3rd row	M
4th row	M
5th row	M

Common Values

Value	Count	Frequency (%)
M	4331	71.7%
F	1709	28.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
m	4331	71.7%
f	1709	28.3%

Most occurring characters

Value	Count	Frequency (%)
M	4331	71.7%
F	1709	28.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	6040	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	4331	71.7%
F	1709	28.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6040	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	4331	71.7%
F	1709	28.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6040	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	4331	71.7%
F	1709	28.3%

Age
Real number (ℝ)

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	30.639238

Minimum	1
Maximum	56
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.3 KiB

Quantile statistics

Minimum	1
5-th percentile	18
Q1	25
median	25
Q3	35
95-th percentile	56
Maximum	56
Range	55
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	12.895962
Coefficient of variation (CV)	0.42089694
Kurtosis	-0.29081008
Mean	30.639238
Median Absolute Deviation (MAD)	7
Skewness	0.24270008
Sum	185061
Variance	166.30583
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
25	2096	34.7%
35	1193	19.8%
18	1103	18.3%
45	550	9.1%
50	496	8.2%
56	380	6.3%
1	222	3.7%

Value	Count	Frequency (%)
1	222	3.7%
18	1103	18.3%
25	2096	34.7%
35	1193	19.8%
45	550	9.1%
50	496	8.2%
56	380	6.3%

Value	Count	Frequency (%)
56	380	6.3%
50	496	8.2%
45	550	9.1%
35	1193	19.8%
25	2096	34.7%
18	1103	18.3%
1	222	3.7%

Occupation
Real number (ℝ)

Zeros

Distinct	21
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.1468543

Minimum	0
Maximum	20
Zeros	711
Zeros (%)	11.8%
Negative	0
Negative (%)	0.0%
Memory size	47.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	7
Q3	14
95-th percentile	19
Maximum	20
Range	20
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	6.3295115
Coefficient of variation (CV)	0.77692705
Kurtosis	-1.2141444
Mean	8.1468543
Median Absolute Deviation (MAD)	5
Skewness	0.33829811
Sum	49207
Variance	40.062716
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
4	759	12.6%
0	711	11.8%
7	679	11.2%
1	528	8.7%
17	502	8.3%
12	388	6.4%
14	302	5.0%
20	281	4.7%
2	267	4.4%
16	241	4.0%
Other values (11)	1382	22.9%

Value	Count	Frequency (%)
0	711	11.8%
1	528	8.7%
2	267	4.4%
3	173	2.9%
4	759	12.6%
5	112	1.9%
6	236	3.9%
7	679	11.2%
8	17	0.3%
9	92	1.5%

Value	Count	Frequency (%)
20	281	4.7%
19	72	1.2%
18	70	1.2%
17	502	8.3%
16	241	4.0%
15	144	2.4%
14	302	5.0%
13	142	2.4%
12	388	6.4%
11	129	2.1%

Zip-code
Real number (ℝ)

Skewed

Distinct	3403
Distinct (%)	56.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	87590.829

Minimum	231
Maximum	1.9312204 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.3 KiB

Quantile statistics

Minimum	231
5-th percentile	2714.95
Q1	22314
median	55107
Q3	89110
95-th percentile	97214
Maximum	1.9312204 × 10⁸
Range	1.9312181 × 10⁸
Interquartile range (IQR)	66796

Descriptive statistics

Standard deviation	2485802.4
Coefficient of variation (CV)	28.37971
Kurtosis	6024.5333
Mean	87590.829
Median Absolute Deviation (MAD)	32900
Skewness	77.570321
Sum	5.2904861 × 10⁸
Variance	6.1792134 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
48104	19	0.3%
22903	18	0.3%
94110	17	0.3%
55104	17	0.3%
10025	16	0.3%
55455	16	0.3%
55105	16	0.3%
48103	15	0.2%
94114	15	0.2%
55408	15	0.2%
Other values (3393)	5876	97.3%

Value	Count	Frequency (%)
231	1	< 0.1%
606	1	< 0.1%
681	1	< 0.1%
693	1	< 0.1%
918	1	< 0.1%
926	1	< 0.1%
961	1	< 0.1%
1002	5	0.1%
1003	1	< 0.1%
1020	1	< 0.1%

Value	Count	Frequency (%)
193122042	1	< 0.1%
5849574	1	< 0.1%
2020010	1	< 0.1%
970025	1	< 0.1%
956456	1	< 0.1%
954025	1	< 0.1%
949702	1	< 0.1%
495321	2	< 0.1%
444555	1	< 0.1%
400060	1	< 0.1%

	Age	Gender	Occupation	UserID	Zip-code
Age	1.000	0.047	0.079	0.012	-0.010
Gender	0.047	1.000	0.240	0.063	0.000
Occupation	0.079	0.240	1.000	-0.016	0.042
UserID	0.012	0.063	-0.016	1.000	-0.060
Zip-code	-0.010	0.000	0.042	-0.060	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	UserID	Gender	Age	Occupation	Zip-code
0	1	F	1	10	48067
1	2	M	56	16	70072
2	3	M	25	15	55117
3	4	M	45	7	02460
4	5	M	25	20	55455
5	6	F	50	9	55117
6	7	M	35	1	06810
7	8	M	25	12	11413
8	9	M	25	17	61614
9	10	F	35	1	95370

	UserID	Gender	Age	Occupation	Zip-code
6030	6031	F	18	0	45123
6031	6032	M	45	7	55108
6032	6033	M	50	13	78232
6033	6034	M	25	14	94117
6034	6035	F	25	1	78734
6035	6036	F	25	15	32603
6036	6037	F	45	1	76006
6037	6038	F	56	1	14706
6038	6039	F	45	0	01060
6039	6040	M	25	6	11106

Overview

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample